MOTION CAPTURE DATA FITTING SYSTEM
    1.
    发明公开

    公开(公告)号:US20240198175A1

    公开(公告)日:2024-06-20

    申请号:US18589029

    申请日:2024-02-27

    CPC classification number: A63B24/0062 A61B5/11 A61B5/6895 G01P13/00 A61B5/742

    Abstract: Enables a fitting system for sporting equipment using an application that executes on a mobile phone for example to prompt and accept motion inputs from a given motion capture sensor to measure a user's size, range of motion, speed and then utilizes that same sensor to capture motion data from a piece of equipment, for example to further optimize the fit of, or suggest purchase of a particular piece of sporting equipment. Utilizes correlation or other data mining of motion data for size, range of motion, speed of other users to maximize the fit of a piece of equipment for the user based on other user's performance with particular equipment. For example, this enables a user of a similar size, range of motion and speed to data mine for the best performance equipment, e.g., longest drive, lowest putt scores, highest winning percentage, etc., associated with other users having similar characteristics.

    MOTION CAPTURE DATA FITTING SYSTEM
    3.
    发明申请

    公开(公告)号:US20200047029A1

    公开(公告)日:2020-02-13

    申请号:US16512631

    申请日:2019-07-16

    Abstract: Enables a fitting system for sporting equipment using an application that executes on a mobile phone for example to prompt and accept motion inputs from a given motion capture sensor to measure a user's size, range of motion, speed and then utilizes that same sensor to capture motion data from a piece of equipment, for example to further optimize the fit of, or suggest purchase of a particular piece of sporting equipment. Utilizes correlation or other data mining of motion data for size, range of motion, speed of other users to maximize the fit of a piece of equipment for the user based on other user's performance with particular equipment. For example, this enables a user of a similar size, range of motion and speed to data mine for the best performance equipment, e.g., longest drive, lowest putt scores, highest winning percentage, etc., associated with other users having similar characteristics.

    METHOD OF DETERMINING JOINT STRESS FROM SENSOR DATA

    公开(公告)号:US20190147233A1

    公开(公告)日:2019-05-16

    申请号:US16181955

    申请日:2018-11-06

    Abstract: A method of calculating the stress on a joint by determining when a joint angle is outside the normal range of motion for the joint. Applications include analysis of elbow joint stress for baseball pitchers, for example to mitigate the risk of injury to the ulnar collateral ligament (UCL). During a movement such as a baseball pitch, sensor data is collected to track the position, orientation, or motion of body segments; joint angles are derived from this sensor data. Joint angles are then compared to a range of motion, which may be measured for each individual. Joint stress contributions from movements that exceed the range of motion may be combined over time to calculate cumulative joint fatigue. This joint fatigue measure may for example be used for pitchers to quantify recovery periods (days off) and future workloads (such as maximum pitch counts).

    MULTI-SENSOR EVENT ANALYSIS AND TAGGING SYSTEM

    公开(公告)号:US20190057508A1

    公开(公告)日:2019-02-21

    申请号:US16166490

    申请日:2018-10-22

    Abstract: A system that analyzes data from multiple sensors, potentially of different types, that track motions of players, equipment, and projectiles such as balls. Data from different sensors is combined to generate integrated metrics for events and activities. Illustrative sensors may include inertial sensors, cameras, radars, and light gates. As an illustrative example, a video camera may track motion of a pitched baseball, and an inertial sensor may track motion of a bat; the system may use the combined data to analyze the effectiveness of the swing in hitting the pitch. The system may also use sensor data to automatically select or generate tags for an event; tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags.

    MULTI-SENSOR EVENT DETECTION SYSTEM
    8.
    发明申请
    MULTI-SENSOR EVENT DETECTION SYSTEM 有权
    多传感器事件检测系统

    公开(公告)号:US20150318015A1

    公开(公告)日:2015-11-05

    申请号:US14801428

    申请日:2015-07-16

    Abstract: A sensor event detection system including a motion capture element with a memory, sensor, microprocessor, first communication interface and another sensor. The sensor captures values associated with an orientation, position, velocity and acceleration of the motion capture element. The first communication interface receives other values associated with a temperature, humidity, wind and elevation, and the other sensor locally captures the other values. The microprocessor collects data that includes sensor values from the sensor, stores the data in the memory, and recognizes an event within the data to determine event data. The microprocessor correlates the data or event data with the other values to determine a false positive event or a type of equipment the motion capture element is coupled with, or a type of activity indicated by the data or event data, and transmits the data or event data associated with the event via the first communication interface.

    Abstract translation: 传感器事件检测系统,包括具有存储器,传感器,微处理器,第一通信接口和另一传感器的运动捕获元件。 传感器捕获与运动捕捉元件的方向,位置,速度和加速度相关联的值。 第一个通信接口接收与温度,湿度,风和仰角相关的其他值,而另一个传感器在本地捕获其他值。 微处理器从传感器收集包含传感器值的数据,将数据存储在存储器中,并识别数据内的事件以确定事件数据。 微处理器将数据或事件数据与其他值相关联,以确定运动捕捉元件耦合的假阳性事件或设备类型,或由数据或事件数据指示的活动类型,并发送数据或事件 通过第一通信接口与事件相关联的数据。

    TIMING BIOFEEDBACK SYSTEM THAT DETECTS START OF AN ACTION

    公开(公告)号:US20240390767A1

    公开(公告)日:2024-11-28

    申请号:US18797464

    申请日:2024-08-07

    Abstract: A system that detects when a user starts an action, such as a golf stroke or tennis stroke, and provides feedback to indicate the desired timing of one or more phases of the action. For example, timing feedback signals may be sent to indicate when each phase should ideally finish as a training aid to guide the user towards improving performance of the action. Equipment used by the user may be equipped with an inertial motion sensor that captures data throughout the action; data may be transmitted to a processor, such as a mobile device or a server, for analysis, and feedback signals (such as audio tones) may be sent to the user throughout the action based on this analysis. The user may initiate an action at any time, without needing a prompt from the system to begin the action, since the system may dynamically detect when an action begins.

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